cMadan/prism

Version 2.0.0.0 (1.14 MB) by Christopher Madan
Multiple spline regression with regularization, dimensionality reduction, and feature selection
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Updated 8 Jun 2017
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Prism uses a combination of statistical methods to conduct spline-based multiple regression. Prism conducts this regression using regularization, dimensionality reduction, and feature selection, through a combination of smoothing spline regression, PCA, and RVR/LASSO.
Please cite this paper if you use the toolbox:
Madan, C. R. (2016). Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection. Journal of Open Source Software, 31. doi:10.21105/joss.00031

Cite As

Christopher Madan (2024). cMadan/prism (https://github.com/cMadan/prism), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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prism

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Version Published Release Notes
2.0.0.0

See Github.

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.